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Industry Research
AI in Construction Machinery Industry Research Report 2026
Market perspective
The global AI in Construction Machinery market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI in Construction Machinery market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI in Construction Machinery market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI in Construction Machinery market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI in Construction Machinery include Caterpillar, Komatsu, Sany, Hitachi, Volvo CE, Liebherr, XCMG, Hyundai Doosan and JCB, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI in Construction Machinery market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI in Construction Machinery.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI in Construction Machinery Market by Company
Caterpillar
Komatsu
Sany
Hitachi
Volvo CE
Liebherr
XCMG
Hyundai Doosan
JCB
Kobelco
CNH Industrial
AI in Construction Machinery Segment by Type
AI Assist
Perception & Safety
Eco-Efficiency
AI in Construction Machinery Segment by Application
Excavation Machinery
Loading Machinery
Roller Machinery
Cranes
Concrete Machinery
Others
AI in Construction Machinery Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI in Construction Machinery market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI in Construction Machinery and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI in Construction Machinery.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of AI in Construction Machinery companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- AI Assist
- Perception & Safety
- Eco-Efficiency
Applications
- Excavation Machinery
- Loading Machinery
- Roller Machinery
- Cranes
- Concrete Machinery
- Others
Companies covered
- Caterpillar
- Komatsu
- Sany
- Hitachi
- Volvo CE
- Liebherr
- XCMG
- Hyundai Doosan
- JCB
- Kobelco
- CNH Industrial
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI in Construction Machinery by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 AI Assist
- 2.2.3 Perception & Safety
- 2.2.4 Eco-Efficiency
- 2.3 AI in Construction Machinery by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Excavation Machinery
- 2.3.3 Loading Machinery
- 2.3.4 Roller Machinery
- 2.3.5 Cranes
- 2.3.6 Concrete Machinery
- 2.3.7 Others
- 2.4 Assumptions and Limitations
3 AI in Construction Machinery Breakdown Data by Type
- 3.1 Global AI in Construction Machinery Historic Market Size by Type (2021-2026)
- 3.2 Global AI in Construction Machinery Forecasted Market Size by Type (2027-2032)
4 AI in Construction Machinery Breakdown Data by Application
- 4.1 Global AI in Construction Machinery Historic Market Size by Application (2021-2026)
- 4.2 Global AI in Construction Machinery Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI in Construction Machinery Market Perspective (2021-2032)
- 5.2 Global AI in Construction Machinery Growth Trends by Region
- 5.2.1 Global AI in Construction Machinery Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI in Construction Machinery Historic Market Size by Region (2021-2026)
- 5.2.3 AI in Construction Machinery Forecasted Market Size by Region (2027-2032)
- 5.3 AI in Construction Machinery Market Dynamics
- 5.3.1 AI in Construction Machinery Industry Trends
- 5.3.2 AI in Construction Machinery Market Drivers
- 5.3.3 AI in Construction Machinery Market Challenges
- 5.3.4 AI in Construction Machinery Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI in Construction Machinery Players by Revenue
- 6.1.1 Global Top AI in Construction Machinery Players by Revenue (2021-2026)
- 6.1.2 Global AI in Construction Machinery Revenue Market Share by Players (2021-2026)
- 6.2 Global AI in Construction Machinery Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI in Construction Machinery Head Office and Area Served
- 6.4 Global AI in Construction Machinery Players, Product Type & Application
- 6.5 Global AI in Construction Machinery Manufacturers Established Date
- 6.6 Global AI in Construction Machinery Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI in Construction Machinery Market Size (2021-2032)
- 7.2 North America AI in Construction Machinery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI in Construction Machinery Market Size by Country (2021-2026)
- 7.4 North America AI in Construction Machinery Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI in Construction Machinery Market Size (2021-2032)
- 8.2 Europe AI in Construction Machinery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI in Construction Machinery Market Size by Country (2021-2026)
- 8.4 Europe AI in Construction Machinery Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI in Construction Machinery Market Size (2021-2032)
- 9.2 Asia-Pacific AI in Construction Machinery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI in Construction Machinery Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI in Construction Machinery Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI in Construction Machinery Market Size (2021-2032)
- 10.2 South America AI in Construction Machinery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI in Construction Machinery Market Size by Country (2021-2026)
- 10.4 South America AI in Construction Machinery Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI in Construction Machinery Market Size (2021-2032)
- 11.2 Middle East & Africa AI in Construction Machinery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI in Construction Machinery Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI in Construction Machinery Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Caterpillar
- 12.1.1 Caterpillar Company Information
- 12.1.2 Caterpillar Business Overview
- 12.1.3 Caterpillar Revenue in AI in Construction Machinery Business (2021-2026)
- 12.1.4 Caterpillar AI in Construction Machinery Product Portfolio
- 12.1.5 Caterpillar Recent Developments
- 12.2 Komatsu
- 12.2.1 Komatsu Company Information
- 12.2.2 Komatsu Business Overview
- 12.2.3 Komatsu Revenue in AI in Construction Machinery Business (2021-2026)
- 12.2.4 Komatsu AI in Construction Machinery Product Portfolio
- 12.2.5 Komatsu Recent Developments
- 12.3 Sany
- 12.3.1 Sany Company Information
- 12.3.2 Sany Business Overview
- 12.3.3 Sany Revenue in AI in Construction Machinery Business (2021-2026)
- 12.3.4 Sany AI in Construction Machinery Product Portfolio
- 12.3.5 Sany Recent Developments
- 12.4 Hitachi
- 12.4.1 Hitachi Company Information
- 12.4.2 Hitachi Business Overview
- 12.4.3 Hitachi Revenue in AI in Construction Machinery Business (2021-2026)
- 12.4.4 Hitachi AI in Construction Machinery Product Portfolio
- 12.4.5 Hitachi Recent Developments
- 12.5 Volvo CE
- 12.5.1 Volvo CE Company Information
- 12.5.2 Volvo CE Business Overview
- 12.5.3 Volvo CE Revenue in AI in Construction Machinery Business (2021-2026)
- 12.5.4 Volvo CE AI in Construction Machinery Product Portfolio
- 12.5.5 Volvo CE Recent Developments
- 12.6 Liebherr
- 12.6.1 Liebherr Company Information
- 12.6.2 Liebherr Business Overview
- 12.6.3 Liebherr Revenue in AI in Construction Machinery Business (2021-2026)
- 12.6.4 Liebherr AI in Construction Machinery Product Portfolio
- 12.6.5 Liebherr Recent Developments
- 12.7 XCMG
- 12.7.1 XCMG Company Information
- 12.7.2 XCMG Business Overview
- 12.7.3 XCMG Revenue in AI in Construction Machinery Business (2021-2026)
- 12.7.4 XCMG AI in Construction Machinery Product Portfolio
- 12.7.5 XCMG Recent Developments
- 12.8 Hyundai Doosan
- 12.8.1 Hyundai Doosan Company Information
- 12.8.2 Hyundai Doosan Business Overview
- 12.8.3 Hyundai Doosan Revenue in AI in Construction Machinery Business (2021-2026)
- 12.8.4 Hyundai Doosan AI in Construction Machinery Product Portfolio
- 12.8.5 Hyundai Doosan Recent Developments
- 12.9 JCB
- 12.9.1 JCB Company Information
- 12.9.2 JCB Business Overview
- 12.9.3 JCB Revenue in AI in Construction Machinery Business (2021-2026)
- 12.9.4 JCB AI in Construction Machinery Product Portfolio
- 12.9.5 JCB Recent Developments
- 12.10 Kobelco
- 12.10.1 Kobelco Company Information
- 12.10.2 Kobelco Business Overview
- 12.10.3 Kobelco Revenue in AI in Construction Machinery Business (2021-2026)
- 12.10.4 Kobelco AI in Construction Machinery Product Portfolio
- 12.10.5 Kobelco Recent Developments
- 12.11 CNH Industrial
- 12.11.1 CNH Industrial Company Information
- 12.11.2 CNH Industrial Business Overview
- 12.11.3 CNH Industrial Revenue in AI in Construction Machinery Business (2021-2026)
- 12.11.4 CNH Industrial AI in Construction Machinery Product Portfolio
- 12.11.5 CNH Industrial Recent Developments
13 Report Conclusion
14 Disclaimer
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